The role involves designing data solutions, documenting requirements, and analyzing data sources to ensure accurate development. You will collaborate with Product Owners and Data Owners to manage data quality and publish business glossaries.
Remote Software Development Jobs in Mexico (1,409)
Remote in = Mexico
Job category = Software Development
Design and develop AI and advanced data science solutions integrated with Azure to drive innovation and efficiency. Build machine learning and deep learning models in Python while translating technical results into business implications.
Design and implement solutions based on Azure Kubernetes Service (AKS) and manage CI/CD pipelines for automated deployments. Monitor and optimize production platforms using SRE practices and observability tools.
Drive the reliability and resilience of enterprise identity services by managing authentication, provisioning, and identity lifecycle processes. Own the end-to-end resolution of IAM incidents and implement automated remediation workflows to reduce operational noise.
Oversee the design, development, and maintenance of web applications using React and Next.js. Lead a team of junior developers while managing project timelines and collaborating across QA and Product Management teams.
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Identity & Access Management (IAM) Engineer
Sequoia Connect
·
Full Time
·
1 Week Ago
Sequoia Connect
Lead the strategic engineering and operational management of the organization's Identity and Access Management platform. Drive identity modernization, automate lifecycle processes, and maintain audit-ready security controls.
Design, build, and operate modern cloud-native data warehouses and robust ELT/ETL pipelines from the ground up. Collaborate with U.S. C-suite stakeholders to translate business requirements into technical architecture and ensure data security compliance.
Design, develop, and deploy advanced AI, machine learning, and optimization solutions to enhance business performance and digital transformation. Collaborate with cross-functional teams to translate complex data into actionable insights and scalable production-ready products.
Design and architect scalable applications and infrastructure using MongoDB while guiding customers on optimization strategies. Partner with sales teams to drive account success through technical discovery, demos, and proof of value.
Manage the full revenue cycle, including patient onboarding, payment workflows, and financial reconciliation. Coordinate with insurance companies for coding and authorizations while maintaining organized patient records in the EMR.
Build and implement enterprise contact center transformations using Amazon Connect, Generative AI, and serverless AWS architectures. Develop AI agents, custom agent tooling, and scalable infrastructure while collaborating directly with customer engineering teams.
Architect and build scalable infrastructure solutions using Kubernetes and AWS while driving the roadmap for reliability and scalability. Lead AI enablement efforts to enhance infrastructure reliability and mentor engineers in operational excellence.
Design and develop scalable backend and platform features for a multimodal AI system. Implement strict data compliance controls and security standards to handle sensitive business data.
Focus on the performance, optimization, and modernization of SQL environments across infrastructure and application layers. This includes executing SQL workload migrations to Azure and ensuring operational reliability and cost efficiency.
Design and deploy AI-powered applications and intelligent workflows using LLMs to optimize business operations. Build and maintain complex integrations between HubSpot, EHR systems, and other third-party business tools via APIs.
The role is responsible for designing and building cloud-based data solutions and managing the development of business intelligence and data quality tools. It involves collaborating with cross-functional teams to create data pipelines and migrate legacy platforms to new cloud solutions.
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The role focuses on provisioning and managing workload-specific Azure infrastructure using Terraform modules within a DevSecOps pipeline. It involves collaborating with security and network teams to ensure governed, cost-aware, and reproducible infrastructure aligned with Azure Landing Zone standards.
Provision and manage workload-specific Azure infrastructure resources using Terraform modules. Collaborate with security and network teams to deliver governed, reproducible infrastructure aligned with Azure Landing Zone standards.
Lead the design and implementation of standardized ETL pipelines and data transformation processes to migrate ERP data into Microsoft Fabric. Establish data quality frameworks and mentor team members on engineering practices to create an AI-ready data architecture.
Provide L2/L3 support for Veeva platform applications including Quality, RIM, and Clinical modules across global sites. Configure workflows, business rules, and integrations with ERP and MES systems to ensure high system availability.
Install, upgrade, and administer the z/OS Mainframe operating system to ensure reliability, performance, and security. This includes managing SMP/E activities, MVS tuning, and supporting various ISV products.
Design and implement scalable, high-availability machine learning architectures from conceptualization to production deployment. Lead technical initiatives, mentor junior engineers, and collaborate with product and data teams to align AI solutions with business goals.
Design and implement scalable AI/ML technical architectures while leading development teams through technical influence. Responsibilities include defining integration strategies, designing ML infrastructures, and contributing to critical code components.
Lead the end-to-end development and implementation of scalable AI solutions and predictive models to solve client problems. Collaborate with multidisciplinary teams to integrate AI into robust systems and research emerging trends in machine learning.
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Build and maintain production integrations between internal systems, third-party APIs, and AI/ML services. Design automation workflows and develop full-stack product features from the frontend to the database.
Design, build, and optimize scalable data solutions to enable integration and processing for analytics and business intelligence. Collaborate with multidisciplinary teams to ensure data availability for data science initiatives.
Design and implement scalable middleware APIs and backend services using Java and Golang to support high-performance streaming infrastructure. Optimize services across AWS and GCP while promoting engineering best practices and contributing to technical strategy.
Monitor and respond to cybersecurity incidents while conducting risk assessments to protect organizational assets. Maintain compliance with frameworks like SOC 2 and ISO 27001 through auditing and policy development.
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